Notebooks on core features

• Introductory Overview of PyMC
• GLM: Linear regression
• Model comparison
• Prior and Posterior Predictive Checks
• Distribution Dimensionality
• PyMC and PyTensor
• Gaussian Processes

Note

The notebooks above are executed with each version of the library (available on the navigation bar). In addition, a much larger gallery of example notebooks is available at the “Examples” tab. These are executed more sparsely and independently. They include a watermark to show which versions were used to run them.